Recent advances in variational autoencoders with representation learning for biomedical informatics: A survey
Variational autoencoders (VAEs) are deep latent space generative models that have been
immensely successful in multiple exciting applications in biomedical informatics such as …
immensely successful in multiple exciting applications in biomedical informatics such as …
Artificial intelligence in obstetric ultrasound: a sco** review
R Horgan, L Nehme, A Abuhamad - Prenatal Diagnosis, 2023 - Wiley Online Library
The objective is to summarize the current use of artificial intelligence (AI) in obstetric
ultrasound. PubMed, Cochrane Library, and ClinicalTrials. gov databases were searched …
ultrasound. PubMed, Cochrane Library, and ClinicalTrials. gov databases were searched …
Autoencoders and variational autoencoders in medical image analysis
J Ehrhardt, M Wilms - Biomedical Image Synthesis and Simulation, 2022 - Elsevier
This chapter introduces two popular methods for unsupervised representation learning
using neural networks, namely autoencoders and variational autoencoders. Both methods …
using neural networks, namely autoencoders and variational autoencoders. Both methods …
3-D coherent multitransducer ultrasound imaging with sparse spiral arrays
Coherent multitransducer ultrasound (CoMTUS) creates an extended effective aperture
through the coherent combination of multiple arrays, which results in images with enhanced …
through the coherent combination of multiple arrays, which results in images with enhanced …
Simultaneous segmentation of fetal hearts and lungs for medical ultrasound images via an efficient multi-scale model integrated with attention mechanism
J **, J Chen, Z Wang, D Ta, B Lu, X Deng… - Ultrasonic …, 2021 - journals.sagepub.com
Large scale early scanning of fetuses via ultrasound imaging is widely used to alleviate the
morbidity or mortality caused by congenital anomalies in fetal hearts and lungs. To reduce …
morbidity or mortality caused by congenital anomalies in fetal hearts and lungs. To reduce …
[HTML][HTML] PRETUS: A plug-in based platform for real-time ultrasound imaging research
We present PRETUS—a Plugin-based Real Time UltraSound software platform for live
ultrasound image analysis and operator support. The software is lightweight; functionality is …
ultrasound image analysis and operator support. The software is lightweight; functionality is …
SynStitch: a Self-Supervised Learning Network for Ultrasound Image Stitching Using Synthetic Training Pairs and Indirect Supervision
Ultrasound (US) image stitching can expand the field-of-view (FOV) by combining multiple
US images from varied probe positions. However, registering US images with only partially …
US images from varied probe positions. However, registering US images with only partially …
Denoising OCT images using steered mixture of experts with multi-model inference
In Optical Coherence Tomography (OCT), speckle noise significantly hampers image
quality, affecting diagnostic accuracy. Current methods, including traditional filtering and …
quality, affecting diagnostic accuracy. Current methods, including traditional filtering and …
Coherent multi-transducer ultrasound imaging: first in vivo results
Despite medical ultrasound being ubiquitous in clinical practice, its usefulness is limited by
low resolution images with a restricted field of view and penetration depth. Those key …
low resolution images with a restricted field of view and penetration depth. Those key …
Feasibility of 3-D coherent multi-transducer ultrasound imaging with two sparse arrays
Coherent multi-transducer ultrasound (CoMTUS) creates an extended effective aperture
through coherent combination of multiple arrays that results in significantly improved …
through coherent combination of multiple arrays that results in significantly improved …